Pandas Profiling Report

Dataset statistics

Number of variables	9
Number of observations	2247
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	158.1 KiB
Average record size in memory	72.1 B

Variable types

DateTime	1
Numeric	8

Alerts

`relative_humidity` is highly correlated with `absolute_humidity`	High correlation
`absolute_humidity` is highly correlated with `relative_humidity` and 2 other fields	High correlation
`sensor_1` is highly correlated with `sensor_2` and 3 other fields	High correlation
`sensor_2` is highly correlated with `sensor_1` and 3 other fields	High correlation
`sensor_3` is highly correlated with `absolute_humidity` and 4 other fields	High correlation
`sensor_4` is highly correlated with `absolute_humidity` and 4 other fields	High correlation
`sensor_5` is highly correlated with `sensor_1` and 3 other fields	High correlation
`relative_humidity` is highly correlated with `absolute_humidity`	High correlation
`absolute_humidity` is highly correlated with `relative_humidity` and 2 other fields	High correlation
`sensor_1` is highly correlated with `sensor_2` and 3 other fields	High correlation
`sensor_2` is highly correlated with `sensor_1` and 3 other fields	High correlation
`sensor_3` is highly correlated with `absolute_humidity` and 4 other fields	High correlation
`sensor_4` is highly correlated with `absolute_humidity` and 4 other fields	High correlation
`sensor_5` is highly correlated with `sensor_1` and 3 other fields	High correlation
`absolute_humidity` is highly correlated with `sensor_4`	High correlation
`sensor_1` is highly correlated with `sensor_2` and 3 other fields	High correlation
`sensor_2` is highly correlated with `sensor_1` and 3 other fields	High correlation
`sensor_3` is highly correlated with `sensor_1` and 3 other fields	High correlation
`sensor_4` is highly correlated with `absolute_humidity` and 4 other fields	High correlation
`sensor_5` is highly correlated with `sensor_1` and 3 other fields	High correlation
`deg_C` is highly correlated with `relative_humidity` and 5 other fields	High correlation
`relative_humidity` is highly correlated with `deg_C` and 2 other fields	High correlation
`absolute_humidity` is highly correlated with `deg_C` and 4 other fields	High correlation
`sensor_1` is highly correlated with `deg_C` and 4 other fields	High correlation
`sensor_2` is highly correlated with `deg_C` and 5 other fields	High correlation
`sensor_3` is highly correlated with `deg_C` and 5 other fields	High correlation
`sensor_4` is highly correlated with `deg_C` and 6 other fields	High correlation
`sensor_5` is highly correlated with `sensor_1` and 3 other fields	High correlation
`date_time` has unique values	Unique

Reproduction

Analysis started	2021-10-05 10:16:00.992789
Analysis finished	2021-10-05 10:16:10.994515
Duration	10 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

date_time
Date

UNIQUE

Distinct	2247
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	17.7 KiB

Minimum	2011-01-01 00:00:00
Maximum	2011-04-04 14:00:00

Histogram

Histogram with fixed size bins (bins=50)

deg_C
Real number (ℝ)

HIGH CORRELATION

Distinct	280
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.80814419

Minimum	-1.8
Maximum	30.9
Zeros	1
Zeros (%)	< 0.1%
Negative	13
Negative (%)	0.6%
Memory size	17.7 KiB

Quantile statistics

Minimum	-1.8
5-th percentile	2.9
Q1	5.6
median	9.8
Q3	14.2
95-th percentile	23.7
Maximum	30.9
Range	32.7
Interquartile range (IQR)	8.6

Descriptive statistics

Standard deviation	6.44449695
Coefficient of variation (CV)	0.5962630435
Kurtosis	-0.2825219874
Mean	10.80814419
Median Absolute Deviation (MAD)	4.3
Skewness	0.6772607799
Sum	24285.9
Variance	41.53154094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.2	30	1.3%
4.1	27	1.2%
3.9	25	1.1%
4.6	25	1.1%
3.4	23	1.0%
6	22	1.0%
6.7	22	1.0%
4.7	21	0.9%
6.5	21	0.9%
5.7	20	0.9%
Other values (270)	2011	89.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1.8	1	< 0.1%
-1.3	2	0.1%
-1.2	2	0.1%
-1.1	1	< 0.1%
-0.6	2	0.1%
-0.5	1	< 0.1%
-0.3	1	< 0.1%
-0.2	1	< 0.1%
-0.1	2	0.1%
0	1	< 0.1%

Value	Count	Frequency (%)
30.9	1	< 0.1%
30.3	1	< 0.1%
29.6	1	< 0.1%
29.4	1	< 0.1%
29.1	1	< 0.1%
28.2	2	0.1%
27.9	2	0.1%
27.5	1	< 0.1%
27.3	1	< 0.1%
27.2	2	0.1%

relative_humidity
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	653
Distinct (%)	29.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.03124166

Minimum	9.8
Maximum	88.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.7 KiB

Quantile statistics

Minimum	9.8
5-th percentile	24.93
Q1	36.9
median	50.6
Q3	63.55
95-th percentile	78.6
Maximum	88.8
Range	79
Interquartile range (IQR)	26.65

Descriptive statistics

Standard deviation	16.66504715
Coefficient of variation (CV)	0.3265655823
Kurtosis	-0.8112609995
Mean	51.03124166
Median Absolute Deviation (MAD)	13.4
Skewness	0.05956760129
Sum	114667.2
Variance	277.7237965
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35.6	13	0.6%
53.4	11	0.5%
70.2	10	0.4%
56	10	0.4%
51	10	0.4%
61.7	10	0.4%
34.1	10	0.4%
31.7	10	0.4%
42.7	9	0.4%
76.6	9	0.4%
Other values (643)	2145	95.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
9.8	1	< 0.1%
10.4	1	< 0.1%
10.7	1	< 0.1%
12.7	1	< 0.1%
12.8	1	< 0.1%
13.2	1	< 0.1%
13.3	1	< 0.1%
13.5	1	< 0.1%
13.9	1	< 0.1%
14.2	1	< 0.1%

Value	Count	Frequency (%)
88.8	1	< 0.1%
88.3	2	0.1%
88.1	1	< 0.1%
88	1	< 0.1%
87	2	0.1%
86.9	1	< 0.1%
86.4	1	< 0.1%
86.2	1	< 0.1%
86.1	1	< 0.1%
85.8	2	0.1%

absolute_humidity
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1915
Distinct (%)	85.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.6270527815

Minimum	0.1847
Maximum	1.393
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.7 KiB

Quantile statistics

Minimum	0.1847
5-th percentile	0.23283
Q1	0.41335
median	0.5964
Q3	0.80495
95-th percentile	1.10381
Maximum	1.393
Range	1.2083
Interquartile range (IQR)	0.3916

Descriptive statistics

Standard deviation	0.266588167
Coefficient of variation (CV)	0.4251447006
Kurtosis	-0.5243672511
Mean	0.6270527815
Median Absolute Deviation (MAD)	0.1908
Skewness	0.4674074027
Sum	1408.9876
Variance	0.07106925079
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.2345	4	0.2%
0.2324	4	0.2%
0.7238	4	0.2%
0.2353	4	0.2%
0.2302	4	0.2%
0.2303	4	0.2%
0.6826	4	0.2%
0.2322	4	0.2%
0.2259	3	0.1%
0.5458	3	0.1%
Other values (1905)	2209	98.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.1847	1	< 0.1%
0.1862	1	< 0.1%
0.191	1	< 0.1%
0.1975	1	< 0.1%
0.2031	1	< 0.1%
0.2062	1	< 0.1%
0.2086	1	< 0.1%
0.2157	1	< 0.1%
0.2202	1	< 0.1%
0.221	1	< 0.1%

Value	Count	Frequency (%)
1.393	1	< 0.1%
1.3838	1	< 0.1%
1.3342	1	< 0.1%
1.3224	2	0.1%
1.3219	1	< 0.1%
1.3208	1	< 0.1%
1.3182	1	< 0.1%
1.3171	1	< 0.1%
1.3154	1	< 0.1%
1.3135	1	< 0.1%

sensor_1
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1758
Distinct (%)	78.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1106.53449

Minimum	665.9
Maximum	1882.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.7 KiB

Quantile statistics

Minimum	665.9
5-th percentile	829.08
Q1	951.5
median	1080.4
Q3	1222.1
95-th percentile	1500.84
Maximum	1882.9
Range	1217
Interquartile range (IQR)	270.6

Descriptive statistics

Standard deviation	205.341455
Coefficient of variation (CV)	0.1855716716
Kurtosis	0.3067191872
Mean	1106.53449
Median Absolute Deviation (MAD)	133.4
Skewness	0.7197817369
Sum	2486383
Variance	42165.11315
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
936	5	0.2%
1117.2	4	0.2%
1000.6	4	0.2%
952.8	4	0.2%
909	4	0.2%
1068.9	4	0.2%
899.6	4	0.2%
1025.9	4	0.2%
1134.6	4	0.2%
1295.3	4	0.2%
Other values (1748)	2206	98.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
665.9	1	< 0.1%
709.1	1	< 0.1%
713.5	1	< 0.1%
719.2	1	< 0.1%
722.2	1	< 0.1%
727.6	2	0.1%
727.7	2	0.1%
732.8	1	< 0.1%
736.6	1	< 0.1%
739.8	1	< 0.1%

Value	Count	Frequency (%)
1882.9	1	< 0.1%
1842.8	1	< 0.1%
1838.6	1	< 0.1%
1822	1	< 0.1%
1815.8	1	< 0.1%
1797.6	1	< 0.1%
1795	1	< 0.1%
1783.7	1	< 0.1%
1780.8	1	< 0.1%
1762.8	1	< 0.1%

sensor_2
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1816
Distinct (%)	80.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	836.4597686

Minimum	356.2
Maximum	1776.1
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.7 KiB

Quantile statistics

Minimum	356.2
5-th percentile	401.89
Q1	640.7
median	800.8
Q3	1016.1
95-th percentile	1327.16
Maximum	1776.1
Range	1419.9
Interquartile range (IQR)	375.4

Descriptive statistics

Standard deviation	272.8165854
Coefficient of variation (CV)	0.3261562548
Kurtosis	-0.2489792653
Mean	836.4597686
Median Absolute Deviation (MAD)	185.4
Skewness	0.448121094
Sum	1879525.1
Variance	74428.88926
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
377.5	10	0.4%
401.1	8	0.4%
373.5	7	0.3%
408.9	6	0.3%
416.8	5	0.2%
774.2	5	0.2%
688	4	0.2%
691.8	4	0.2%
913.9	4	0.2%
412.9	4	0.2%
Other values (1806)	2190	97.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
356.2	1	< 0.1%
364.3	1	< 0.1%
364.5	1	< 0.1%
364.7	1	< 0.1%
365.2	2	0.1%
365.5	3	0.1%
365.7	2	0.1%
365.8	1	< 0.1%
368.3	1	< 0.1%
368.4	1	< 0.1%

Value	Count	Frequency (%)
1776.1	1	< 0.1%
1746.2	1	< 0.1%
1731	1	< 0.1%
1677.8	1	< 0.1%
1664.2	1	< 0.1%
1636.6	1	< 0.1%
1624.8	1	< 0.1%
1621	1	< 0.1%
1618.6	1	< 0.1%
1579	1	< 0.1%

sensor_3
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1833
Distinct (%)	81.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	828.3214953

Minimum	320.1
Maximum	1975
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.7 KiB

Quantile statistics

Minimum	320.1
5-th percentile	447.43
Q1	597.05
median	757.1
Q3	944.95
95-th percentile	1737.6
Maximum	1975
Range	1654.9
Interquartile range (IQR)	347.9

Descriptive statistics

Standard deviation	339.5117785
Coefficient of variation (CV)	0.4098792322
Kurtosis	2.219109259
Mean	828.3214953
Median Absolute Deviation (MAD)	169.3
Skewness	1.512811922
Sum	1861238.4
Variance	115268.2478
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
666.4	6	0.3%
750.5	5	0.2%
824.7	5	0.2%
842.5	4	0.2%
587	4	0.2%
702	4	0.2%
538.6	4	0.2%
452	4	0.2%
776.2	4	0.2%
719.1	4	0.2%
Other values (1823)	2203	98.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
320.1	1	< 0.1%
325.2	1	< 0.1%
344.6	1	< 0.1%
351.9	1	< 0.1%
354.3	1	< 0.1%
356	1	< 0.1%
359	1	< 0.1%
360	1	< 0.1%
366	1	< 0.1%
366.3	2	0.1%

Value	Count	Frequency (%)
1975	1	< 0.1%
1953.1	1	< 0.1%
1952.4	1	< 0.1%
1940.1	1	< 0.1%
1940	1	< 0.1%
1938.4	1	< 0.1%
1937.5	1	< 0.1%
1923.2	1	< 0.1%
1921.7	1	< 0.1%
1921	2	0.1%

sensor_4
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1877
Distinct (%)	83.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1104.850601

Minimum	523.4
Maximum	2211.4
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.7 KiB

Quantile statistics

Minimum	523.4
5-th percentile	623.93
Q1	899.45
median	1076.2
Q3	1288.35
95-th percentile	1620.22
Maximum	2211.4
Range	1688
Interquartile range (IQR)	388.9

Descriptive statistics

Standard deviation	293.1122248
Coefficient of variation (CV)	0.2652958007
Kurtosis	-0.01266502103
Mean	1104.850601
Median Absolute Deviation (MAD)	193.6
Skewness	0.4236120482
Sum	2482599.3
Variance	85914.77634
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
989.8	4	0.2%
893	4	0.2%
993.2	4	0.2%
956.5	4	0.2%
1226.1	4	0.2%
1030.2	4	0.2%
1519	3	0.1%
896.8	3	0.1%
635.6	3	0.1%
1018.4	3	0.1%
Other values (1867)	2211	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
523.4	1	< 0.1%
559.7	1	< 0.1%
560.8	1	< 0.1%
561.6	1	< 0.1%
563.2	1	< 0.1%
563.3	1	< 0.1%
563.6	1	< 0.1%
564	1	< 0.1%
564.5	1	< 0.1%
564.6	2	0.1%

Value	Count	Frequency (%)
2211.4	1	< 0.1%
2185.9	1	< 0.1%
2073.8	1	< 0.1%
2068.6	1	< 0.1%
2065.2	1	< 0.1%
2025	1	< 0.1%
2016.1	1	< 0.1%
2004.5	1	< 0.1%
2003.4	1	< 0.1%
1989.8	1	< 0.1%

sensor_5
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2017
Distinct (%)	89.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1029.851535

Minimum	218.8
Maximum	2593.8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.7 KiB

Quantile statistics

Minimum	218.8
5-th percentile	402.85
Q1	688.55
median	973.1
Q3	1324
95-th percentile	1812.11
Maximum	2593.8
Range	2375
Interquartile range (IQR)	635.45

Descriptive statistics

Standard deviation	434.863287
Coefficient of variation (CV)	0.4222582305
Kurtosis	-0.2189117863
Mean	1029.851535
Median Absolute Deviation (MAD)	311.6
Skewness	0.5342250443
Sum	2314076.4
Variance	189106.0784
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1153.6	3	0.1%
585.9	3	0.1%
1043.5	3	0.1%
557.8	3	0.1%
796.1	3	0.1%
549.1	3	0.1%
1521	3	0.1%
910.4	3	0.1%
661.5	3	0.1%
1646.4	3	0.1%
Other values (2007)	2217	98.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
218.8	1	< 0.1%
222.5	1	< 0.1%
225	1	< 0.1%
229.7	1	< 0.1%
245.4	1	< 0.1%
251.9	1	< 0.1%
253.2	1	< 0.1%
257	1	< 0.1%
258	1	< 0.1%
259.4	1	< 0.1%

Value	Count	Frequency (%)
2593.8	1	< 0.1%
2547.3	1	< 0.1%
2424.2	1	< 0.1%
2378.6	1	< 0.1%
2362.8	1	< 0.1%
2359.6	1	< 0.1%
2327.5	1	< 0.1%
2288.5	1	< 0.1%
2280.4	1	< 0.1%
2279.6	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	date_time	deg_C	relative_humidity	absolute_humidity	sensor_1	sensor_2	sensor_3	sensor_4	sensor_5
0	2011-01-01 00:00:00	8.0	41.3	0.4375	1108.8	745.7	797.1	880.0	1273.1
1	2011-01-01 01:00:00	5.1	51.7	0.4564	1249.5	864.9	687.9	972.8	1714.0
2	2011-01-01 02:00:00	5.8	51.5	0.4689	1102.6	878.0	693.7	941.9	1300.8
3	2011-01-01 03:00:00	5.0	52.3	0.4693	1139.7	916.2	725.6	1011.0	1283.0
4	2011-01-01 04:00:00	4.5	57.5	0.4650	1022.4	838.5	871.5	967.0	1142.3
5	2011-01-01 05:00:00	4.5	53.7	0.4759	1004.0	745.5	914.2	989.1	973.8
6	2011-01-01 06:00:00	3.3	54.8	0.4636	940.9	738.2	816.0	896.8	1049.4
7	2011-01-01 07:00:00	3.2	60.7	0.4667	954.5	713.9	834.7	935.6	956.3
8	2011-01-01 08:00:00	2.5	65.7	0.4721	969.9	679.1	943.8	959.3	892.0
9	2011-01-01 09:00:00	3.9	57.8	0.4807	976.6	655.5	996.0	906.0	817.5

Last rows

	date_time	deg_C	relative_humidity	absolute_humidity	sensor_1	sensor_2	sensor_3	sensor_4	sensor_5
2237	2011-04-04 05:00:00	10.7	61.7	0.7550	941.3	549.1	1098.5	947.5	549.1
2238	2011-04-04 06:00:00	9.5	66.9	0.7531	989.8	686.2	805.6	1061.3	841.6
2239	2011-04-04 07:00:00	9.1	60.7	0.7446	1411.7	1135.5	474.7	1584.0	1515.3
2240	2011-04-04 08:00:00	13.4	47.4	0.7553	1402.6	1389.2	427.4	1652.6	1670.9
2241	2011-04-04 09:00:00	18.9	37.8	0.7487	1284.0	1102.0	501.9	1347.5	1567.2
2242	2011-04-04 10:00:00	23.2	28.7	0.7568	1340.3	1023.9	522.8	1374.0	1659.8
2243	2011-04-04 11:00:00	24.5	22.5	0.7119	1232.8	955.1	616.1	1226.1	1269.0
2244	2011-04-04 12:00:00	26.6	19.0	0.6406	1187.7	1052.4	572.8	1253.4	1081.1
2245	2011-04-04 13:00:00	29.1	12.7	0.5139	1053.2	1009.0	702.0	1009.8	808.5
2246	2011-04-04 14:00:00	27.9	13.5	0.5028	1124.6	1078.4	608.2	1061.3	816.0

Overview

Variables

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows